Daisuke Kondo
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
Papers in
-
- Ion Transport and Channel Regulation 6
- Peroxisome Proliferator-Activated Receptors 4
- Nephrology 13
- Renal Diseases and Glomerulopathies 10
- Co-authors
- Koichiro Kano (5 shared papers)Yu Koyama (4 shared papers)Katsutoshi Kawasaki (4 shared papers)Eishin Yaoita (4 shared papers)Itaru Kihara (4 shared papers)Haruko Funaki (4 shared papers)Yasushi Okazaki (1 shared paper)Ken Yagi (1 shared paper)
- Journals
- Kidney International (5 papers)Biochemical and Biophysical Research Communications (2 papers)Nephrology (2 papers)World Neurosurgery (2 papers)American Journal of Physiology-Cell Physiology (2 papers)
- Partner nations
- JapanUnited StatesFinland
In The Last Decade
Daisuke Kondo
61 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 122
- Genetics 239
- Nephrology 146
- Physiology 292
- Molecular Biology 676
- Gastroenterology 37
Countries citing papers authored by Daisuke Kondo
This map shows the geographic impact of Daisuke Kondo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daisuke Kondo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Kondo more than expected).
Fields of papers citing papers by Daisuke Kondo
This network shows the impact of papers produced by Daisuke Kondo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daisuke Kondo. The network helps show where Daisuke Kondo may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Kondo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 325 | |
| 2 | 1999 | 170 | |
| 3 | 1997 | 163 | |
| 4 | 2004 | 150 | |
| 5 | 1998 | 145 | |
| 6 | 2005 | 44 | |
| 7 | 2001 | 42 | |
| 8 | 2012 | 37 | |
| 9 | 2015 | 36 | |
| 10 | 2003 | 29 | |
| 11 | 2005 | 28 | |
| 12 | 2009 | 26 | |
| 13 | 2019 | 24 | |
| 14 | 2003 | 23 | |
| 15 | 2009 | 23 | |
| 16 | 2006 | 22 | |
| 17 | 2001 | 21 | |
| 18 | 2000 | 18 | |
| 19 | 2007 | 17 | |
| 20 | 2010 | 17 |
About Daisuke Kondo
Daisuke Kondo is a scholar working on Molecular Biology, Nephrology, Physiology, Pulmonary and Respiratory Medicine and Nutrition and Dietetics, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (10 papers), Ion Transport and Channel Regulation (6 papers), Adipose Tissue and Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Pain Mechanisms and Treatments (3 papers), Complement system in diseases (3 papers), Regulation of Appetite and Obesity (3 papers) and Intracranial Aneurysms: Treatment and Complications (3 papers). The work is most often cited by research in Genetics (239 citations), Nephrology (146 citations), Physiology (292 citations), Molecular Biology (676 citations) and Gastroenterology (37 citations). Daisuke Kondo has collaborated with scholars based in Japan, United States and Finland. Frequent co-authors include Koichiro Kano, Yu Koyama, Katsutoshi Kawasaki, Eishin Yaoita, Itaru Kihara, Haruko Funaki, Yasushi Okazaki, Ken Yagi, Nobuaki Sato and Katsuyoshi Hatakeyama. Their work appears in journals such as Kidney International, Biochemical and Biophysical Research Communications, Nephrology, World Neurosurgery and American Journal of Physiology-Cell Physiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.